Speaker Age Classification and Regression Using i-Vectors

Joanna Grzybowska, Stanisław Kacprzak


In this paper, we examine the use of i-vectors both for age regression as well as for age classification. Although i-vectors have been previously used for age regression task, we extend this approach by applying fusion of i-vectors and acoustic features regression to estimate the speaker age. By our fusion we obtain a relative improvement of 12.6% comparing to solely i-vector system.

We also use i-vectors for age classification, which to our knowledge is the first attempt to do so. Our best results reach unweighted accuracy 62.9%, which is a relative improvement of 16.7% comparing to the best results obtained in age classification task at Age Sub-Challenge at Interspeech 2010.


DOI: 10.21437/Interspeech.2016-1118

Cite as

Grzybowska, J., Kacprzak, S. (2016) Speaker Age Classification and Regression Using i-Vectors. Proc. Interspeech 2016, 1402-1406.

Bibtex
@inproceedings{Grzybowska+2016,
author={Joanna Grzybowska and Stanisław Kacprzak},
title={Speaker Age Classification and Regression Using i-Vectors},
year=2016,
booktitle={Interspeech 2016},
doi={10.21437/Interspeech.2016-1118},
url={http://dx.doi.org/10.21437/Interspeech.2016-1118},
pages={1402--1406}
}